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Web-Age Information Management

Overview of attention for book
Cover of 'Web-Age Information Management'

Table of Contents

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    Book Overview
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    Chapter 1 More Efficient Algorithm for Mining Frequent Patterns with Multiple Minimum Supports
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    Chapter 2 Efficient Mining of Uncertain Data for High-Utility Itemsets
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    Chapter 3 An Improved HMM Model for Sensing Data Predicting in WSN
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    Chapter 4 eXtreme Gradient Boosting for Identifying Individual Users Across Different Digital Devices
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    Chapter 5 Two-Phase Mining for Frequent Closed Episodes
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    Chapter 6 Effectively Updating High Utility Co-location Patterns in Evolving Spatial Databases
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    Chapter 7 Mining Top-k Distinguishing Sequential Patterns with Flexible Gap Constraints
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    Chapter 8 A Novel Chinese Text Mining Method for E-Commerce Review Spam Detection
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    Chapter 9 Retrieving Routes of Interest Over Road Networks
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    Chapter 10 Semantic-Aware Trajectory Compression with Urban Road Network
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    Chapter 11 Discovering Underground Roads from Trajectories Without Road Network
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    Chapter 12 Ridesharing Recommendation: Whether and Where Should I Wait?
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    Chapter 13 Keyword-aware Optimal Location Query in Road Network
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    Chapter 14 Point-of-Interest Recommendations by Unifying Multiple Correlations
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    Chapter 15 Top-k Team Recommendation in Spatial Crowdsourcing
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    Chapter 16 Explicable Location Prediction Based on Preference Tensor Model
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    Chapter 17 Random Partition Factorization Machines for Context-Aware Recommendations
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    Chapter 18 A Novel Framework to Process the Quantity and Quality of User Behavior Data in Recommender Systems
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    Chapter 19 RankMBPR: Rank-Aware Mutual Bayesian Personalized Ranking for Item Recommendation
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    Chapter 20 Unsupervised Expert Finding in Social Network for Personalized Recommendation
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    Chapter 21 An Approach for Clothing Recommendation Based on Multiple Image Attributes
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    Chapter 22 SocialFM: A Social Recommender System with Factorization Machines
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    Chapter 23 Identifying Linked Data Datasets for sameAs Interlinking Using Recommendation Techniques
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    Chapter 24 Query-Biased Multi-document Abstractive Summarization via Submodular Maximization Using Event Guidance
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    Chapter 25 Inferring Diffusion Network on Incomplete Cascade Data
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    Chapter 26 Anchor Link Prediction Using Topological Information in Social Networks
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    Chapter 27 Collaborative Partitioning for Multiple Social Networks with Anchor Nodes
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    Chapter 28 A General Framework for Graph Matching and Its Application in Ontology Matching
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    Chapter 29 Internet Traffic Analysis in a Large University Town: A Graphical and Clustering Approach
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    Chapter 30 Conceptual Sentence Embeddings
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    Chapter 31 Inferring Social Roles of Mobile Users Based on Communication Behaviors
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    Chapter 32 Sparse Topical Coding with Sparse Groups
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    Chapter 33 Differential Evolution-Based Fusion for Results Diversification of Web Search
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    Chapter 34 BMF: An Indexing Structure to Support Multi-element Check
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    Chapter 35 Efficient Unique Column Combinations Discovery Based on Data Distribution
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    Chapter 36 Event Related Document Retrieval Based on Bipartite Graph
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    Chapter 37 SPedia: A Semantics Based Repository of Scientific Publications Data
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    Chapter 38 A Set-Based Training Query Classification Approach for Twitter Search
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    Chapter 39 NBLucene: Flexible and Efficient Open Source Search Engine
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    Chapter 40 Context-Aware Entity Summarization
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    Chapter 41 Erratum to: BMF: An Indexing Structure to Support Multi-element Check
Overall attention for this book and its chapters
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1 X user

Citations

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Readers on

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Title
Web-Age Information Management
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-39937-9
ISBNs
978-3-31-939936-2, 978-3-31-939937-9
Editors

Bin Cui, Nan Zhang, Jianliang Xu, Xiang Lian, Dexi Liu

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 14%
Unknown 6 86%
Readers by discipline Count As %
Computer Science 1 14%
Unknown 6 86%

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